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CynLr

Category: Robotics / Embodied AI

A deep-tech robotics company building 'Object Computers'—visually intelligent robots capable of manipulating any object in unstructured environments without prior training or data-heavy modeling. CynLr was founded in 2019. The company is led by Nikhil Ramaswamy. Based in Bengaluru, India. Team size: 50-100. Total funding raised: $15.2M. Latest round: Series A. Key investors include Pavestone Capital, Athera Venture Partners, Speciale Invest, GrowX Ventures, Infoedge (Redstart), Venture Catalysts.

Founded
2019
Headquarters
Bengaluru, India
Team size
50-100
Total funding
$15.2M

Value proposition

Eliminates the need for custom hardware fixtures and months of AI training by providing robots with human-like vision, reducing automation deployment time from months to hours.

Products and solutions

CyRo: A multi-arm visual intelligence platform for universal object manipulation., CL-Vision: Proprietary visual intelligence stack that mimics human depth and temporal perception., Real-time Robotic Learning Engine: A platform allowing robots to learn new tasks and object handling in seconds., Universal Robotic Cyber-Physical System: Integrated hardware-software stack for unstructured industrial tasks.

Unique value

Unlike traditional robots that rely on static 3D point clouds or massive datasets, CynLr uses 'Temporal Imaging' to mimic human eye-brain coordination, allowing robots to perceive depth and motion dynamically.

Target customer

Automotive OEMs, electronics manufacturers, logistics providers, and industrial automation integrators seeking flexible, high-mix automation.

Industries served

Automotive, Electronics Manufacturing, Logistics & Warehousing, General Industrial Manufacturing

Technology advantage

The 'Object Computer' approach treats physical objects as software-like data, enabling 'Universal Factories' where the same robot can switch between vastly different tasks (e.g., picking a bolt to handling a circuit board) without reprogramming.

How they differentiate

CynLr differentiates through its 'Temporal Imaging' technology which mimics human eye-brain coordination. Unlike competitors that rely on massive datasets and static 3D point clouds for AI training, CynLr’s 'Object Computer' approach allows robots to perceive depth and motion in real-time, enabling them to handle unstructured objects without prior training or custom hardware fixtures.

Main competitors

Covariant, RightHand Robotics, Intrinsic (Alphabet)

Key partnerships

World Economic Forum (Recognized as a 2024 Technology Pioneer), Pavestone Capital & Athera Venture Partners (Strategic Investment Partners), Swiss-Indian Cooperative (Expansion partner for European market entry), National Instruments (Ecosystem and legacy technical collaboration)

Notable customers

Global Automotive OEMs, Tier-1 Electronics Manufacturers, Industrial Automation Integrators

Major milestones

Founded in 2019 to solve the 'Grasp' problem in robotics, Raised $4.5M Pre-Series A in 2022 to develop visual intelligence hardware, Recognized as a Technology Pioneer by the World Economic Forum in 2024, Launched CyRo, a multi-arm visual intelligence platform for universal manipulation, in 2024, Secured $10M Series A in November 2024 to scale global expansion

Growth metrics

Expanding team from 60 to 120 employees; targeting $5M+ revenue in 2025; recognized as a 2024 World Economic Forum Technology Pioneer.

Market positioning

Deep-tech pioneer in universal robotic manipulation and visual intelligence for high-mix industrial automation.

Geographic focus

India, North America, and Europe (specifically Switzerland).

Patents and IP

Proprietary IP portfolio covering over 400 technology claims across visual intelligence, robotic hardware design, and motion control algorithms.

About Nikhil Ramaswamy

Nikhil Ramaswamy has over 8 years of experience at National Instruments (NI), where he served as a Key Accounts Manager and Systems Engineer. His expertise lies in machine vision, robotics, and industrial automation, where he provided technical consulting for large-scale manufacturing accounts before co-founding CynLr in 2019.

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